We're looking for a data science leader to lead high-impact machine learning initiatives that drive business outcomes across the mortgage lifecycle. The ideal candidate will design and deploy machine learning models, advanced analytics, and experimentation frameworks that power data-driven decisioning at scale.
Requirements
- Design and implement machine learning models and statistical techniques across key mortgage workflows
- Work closely with cross-functional partners to identify opportunities for automation and insight generation using advanced analytics
- Translate business problems across the mortgage lifecycle into well-scoped modeling initiatives
- Drive the development of automation-enhanced decision systems to enhance operational efficiency and user experience
- Build robust data pipelines and modeling systems in collaboration with data engineering
- Apply state-of-the-art techniques in self-supervised learning, graph-based modeling, and Bayesian mixture models
- Contribute to a culture of excellence by publishing internal best practices, conducting peer reviews, and mentoring early-career data scientists
- Actively contribute to the broader data science and machine learning community
- Ensure compliance with data privacy regulations and model auditability
Benefits
- Comprehensive benefits package including medical, dental and vision
- Up to 3% match on 401(k) contributions
- Generous paid time off
- Company-paid life, accident and disability coverage
- Programs for mental, physical and financial wellness